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1import transformers as tf, torch
2model_name = "SpectraSuite/FloatLM_390M"
3
4# Please adjust the temperature, repetition penalty, top_k, top_p and other sampling parameters according to your needs.
5pipeline = tf.pipeline("text-generation", model=model_id, model_kwargs={"torch_dtype": torch.float16}, device_map="auto")
6
7# These are base (pretrained) LLMs that are not instruction and chat tuned. You may need to adjust your prompt accordingly.
8pipeline("Once upon a time")